A new series tests which data-science workflows can run on GPUs today
pandeyparul · x · 2026-07-21
A data science workflow series starts with GPU-accelerated data prep
The author launches a series on how much of a typical machine-learning/data-science pipeline can run on GPUs today, how practical each step is, how much code has to change, and where CPUs still win.
The first article focuses on tabular data preparation and compares three GPU paths: NVIDIA cuDF, cudf.pandas, and the Polars GPU Engine. The attached screenshot frames this as the first part of a larger workflow series.
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